---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---

# /var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmp7vmgfud9/killshot977/intents-setfit-model

This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:

1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.

## Usage

To use this model for inference, first install the SetFit library:

```bash
python -m pip install setfit
```

You can then run inference as follows:

```python
from setfit import SetFitModel

# Download from Hub and run inference
model = SetFitModel.from_pretrained("/var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmp7vmgfud9/killshot977/intents-setfit-model")
# Run inference
preds = model(["I want to tour this community","do you have a 1 bedroom", "what is your availability",  "can i visit this place?", "you really did me a solid!"])
print(preds)
```